{
 "nbformat": 4,
 "nbformat_minor": 0,
 "metadata": {
  "colab": {
   "provenance": [],
   "authorship_tag": "ABX9TyPJ0yeKiuGHJFdmAGX+ukV4"
  },
  "kernelspec": {
   "name": "python3",
   "language": "python",
   "display_name": "Python 3 (ipykernel)"
  },
  "language_info": {
   "name": "python"
  },
  "accelerator": "GPU",
  "gpuClass": "premium"
 },
 "cells": [
  {
   "cell_type": "code",
   "source": [
    "from comet import COMET\n",
    "from models.encoder import FTClassifier\n",
    "# import datautils\n",
    "from tasks.fine_tuning import finetune_fit\n",
    "from tasks.fine_tuning import finetune_predict\n",
    "from tasks.linear_evaluation import eval_classification\n",
    "from dataloading.ptb_preprocessing import load_ptb\n",
    "from config_files.PTB_Configs import Config as Configs\n",
    "\n",
    "import os\n",
    "import torch\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch.nn as nn\n",
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "import copy\n",
    "import sklearn\n",
    "from utils import plot_channels\n",
    "from utils import process_batch_ts\n",
    "from utils import split_data_label\n",
    "from utils import start_logging\n",
    "from utils import stop_logging\n",
    "from utils import seed_everything\n",
    "\n",
    "from datetime import datetime"
   ],
   "metadata": {
    "id": "phKdmF2tMVOV",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1676328072869,
     "user_tz": 300,
     "elapsed": 7310,
     "user": {
      "displayName": "Lucian",
      "userId": "17113640720459928730"
     }
    },
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:21.246349800Z",
     "start_time": "2023-11-09T03:03:16.841284Z"
    }
   },
   "execution_count": 1,
   "outputs": []
  },
  {
   "cell_type": "code",
   "source": [
    "configs = Configs()\n",
    "RANDOM_SEED = configs.RANDOM_SEED\n",
    "\n",
    "# Autoload the modified python file\n",
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "# Ignore warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ],
   "metadata": {
    "id": "T5Qnm0ILMZJQ",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1676328072870,
     "user_tz": 300,
     "elapsed": 46,
     "user": {
      "displayName": "Lucian",
      "userId": "17113640720459928730"
     }
    },
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:21.324576Z",
     "start_time": "2023-11-09T03:03:21.246349800Z"
    }
   },
   "execution_count": 2,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Specify saving and logging directory"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "working_directory = configs.working_directory\n",
    "dataset_save_path = working_directory\n",
    "if not os.path.exists(working_directory):\n",
    "    os.makedirs(working_directory)\n",
    "\n",
    "logging_directory = configs.logging_directory\n",
    "if not os.path.exists(logging_directory):\n",
    "    os.makedirs(logging_directory)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:21.433779900Z",
     "start_time": "2023-11-09T03:03:21.324576Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = np.load(\"datasets/PTB/Label/label.npy\")\n",
    "test"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:21.654685500Z",
     "start_time": "2023-11-09T03:03:21.433779900Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Load and preprocessing data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[104, 105, 108, 109, 111, 112, 114, 124, 126, 127, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141, 142, 147, 151, 154, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 179, 180, 182, 183, 187, 188, 192]\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 106, 107, 110, 113, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125, 128, 129, 130, 140, 143, 144, 145, 146, 148, 149, 150, 152, 153, 155, 156, 176, 178, 181, 184, 185, 186, 189, 190, 191, 193, 194, 195, 196, 197, 198]\n"
     ]
    }
   ],
   "source": [
    "test = np.load(\"datasets/PTB/Label/label.npy\")\n",
    "negative_list = list(test[np.where(test[:,0]==0)][:,1])\n",
    "positive_list = list(test[np.where(test[:,0]==1)][:,1])\n",
    "print(negative_list)  # healthy ID\n",
    "print(positive_list)  # positive ID"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:21.654685500Z",
     "start_time": "2023-11-09T03:03:21.560393300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "source": [
    "data_path = \"datasets/PTB/Feature/\"\n",
    "label_path = \"datasets/PTB/Label/label.npy\"\n",
    "train_ids = negative_list[:-14] + positive_list[:-42]  # specify patient ID for training, validation, and test set\n",
    "val_ids = negative_list[-14:-7] + positive_list[-42:-21]   # 28 patients, 7 healthy and 21 positive\n",
    "test_ids = negative_list[-7:] + positive_list[-21:]  # # 28 patients, 7 healthy and 21 positive\n",
    "X_trial_train, X_trial_val, X_trial_test, y_trial_train, y_trial_val, y_trial_test = load_ptb(train_ids, val_ids, test_ids, data_path, label_path)\n",
    "print(X_trial_train.shape)\n",
    "print(y_trial_train.shape)\n",
    "print(X_trial_val.shape)\n",
    "print(y_trial_val.shape)\n",
    "print(X_trial_test.shape)\n",
    "print(y_trial_test.shape)"
   ],
   "metadata": {
    "id": "SFlMhpSe5IWB",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1676328080495,
     "user_tz": 300,
     "elapsed": 6758,
     "user": {
      "displayName": "Lucian",
      "userId": "17113640720459928730"
     }
    },
    "outputId": "c395125c-ce87-4d3d-a1da-e771028212b3",
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:25.612896800Z",
     "start_time": "2023-11-09T03:03:21.623443200Z"
    }
   },
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation subjects:  [170, 171, 172, 173, 174, 175, 177, 110, 113, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125, 128, 129, 130, 140, 143, 144, 145, 146, 148]\n",
      "Test subjects:  [179, 180, 182, 183, 187, 188, 192, 149, 150, 152, 153, 155, 156, 176, 178, 181, 184, 185, 186, 189, 190, 191, 193, 194, 195, 196, 197, 198]\n",
      "(5395, 3000, 15)\n",
      "(5395, 2)\n",
      "(340, 3000, 15)\n",
      "(340, 2)\n",
      "(502, 3000, 15)\n",
      "(502, 2)\n"
     ]
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5395, 3000, 15)\n",
      "(340, 3000, 15)\n",
      "(502, 3000, 15)\n"
     ]
    }
   ],
   "source": [
    "# normalize data\n",
    "X_trial_train = process_batch_ts(X_trial_train, normalized=True, bandpass_filter=False)\n",
    "X_trial_val = process_batch_ts(X_trial_val, normalized=True, bandpass_filter=False)\n",
    "X_trial_test = process_batch_ts(X_trial_test, normalized=True, bandpass_filter=False)\n",
    "print(X_trial_train.shape)\n",
    "print(X_trial_val.shape)\n",
    "print(X_trial_test.shape)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:35.408888200Z",
     "start_time": "2023-11-09T03:03:25.597276700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(53950, 300, 15)\n",
      "(3400, 300, 15)\n",
      "(5020, 300, 15)\n",
      "(53950, 3)\n",
      "(3400, 3)\n",
      "(5020, 3)\n"
     ]
    }
   ],
   "source": [
    "# Split trail-level data into sample-level data\n",
    "X_train, y_train = split_data_label(X_trial_train,y_trial_train, sample_timestamps=configs.S_TIMESTAMPS, overlapping=configs.S_OVERLAPPING)\n",
    "X_val, y_val = split_data_label(X_trial_val,y_trial_val, sample_timestamps=configs.S_TIMESTAMPS, overlapping=configs.S_OVERLAPPING)\n",
    "X_test, y_test = split_data_label(X_trial_test,y_trial_test, sample_timestamps=configs.S_TIMESTAMPS, overlapping=configs.S_OVERLAPPING)\n",
    "print(X_train.shape)\n",
    "print(X_val.shape)\n",
    "print(X_test.shape)\n",
    "print(y_train.shape)\n",
    "print(y_val.shape)\n",
    "print(y_test.shape)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:36.914500600Z",
     "start_time": "2023-11-09T03:03:35.408888200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1200x800 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot first sample, first four channels\n",
    "plot_channels(1, X_train[0][:,:4])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:37.313140400Z",
     "start_time": "2023-11-09T03:03:36.914500600Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Train model"
   ],
   "metadata": {
    "id": "Gzsn8WX82O5c"
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The program will run on cuda!\n"
     ]
    }
   ],
   "source": [
    "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "print(f\"The program will run on {device}!\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:37.438101900Z",
     "start_time": "2023-11-09T03:03:37.313140400Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Callback functions"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "def pretrain_callback(model, loss):\n",
    "    n = model.n_epochs\n",
    "    metrics_dict = {}\n",
    "    if n % 1 == 0:\n",
    "        metrics_dict = eval_classification(model, X_train, y_train[:, 0], X_val, y_val[:, 0], fraction=1)\n",
    "        print(metrics_dict)\n",
    "        model.save(f\"{working_directory}seed{RANDOM_SEED}_pretrain_model.pt\")\n",
    "    return metrics_dict['F1']"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:37.531829900Z",
     "start_time": "2023-11-09T03:03:37.438101900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "def finetune_callback(model, f1, fraction=1.0):\n",
    "    n = model.n_epochs\n",
    "    if model.n_epochs == 1:\n",
    "        model.finetune_f1 = f1\n",
    "        torch.save(model.state_dict(), f\"{working_directory}seed{RANDOM_SEED}_max_f1_{fraction}_finetune_model.pt\")\n",
    "    # control the saving frequency\n",
    "    if n % 1 == 0:\n",
    "        if f1 > model.finetune_f1:\n",
    "            model.finetune_f1 = f1\n",
    "            torch.save(model.state_dict(), f\"{working_directory}seed{RANDOM_SEED}_max_f1_{fraction}_finetune_model.pt\")\n",
    "    return finetune_callback"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:37.641179600Z",
     "start_time": "2023-11-09T03:03:37.516209Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Self-Supervised"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "source": [
    "start_time = datetime.now()\n",
    "# Train a COMET model\n",
    "seed_everything(RANDOM_SEED)\n",
    "model = COMET(\n",
    "    input_dims=configs.input_dims,\n",
    "    device=device,\n",
    "    lr=configs.pretrain_lr,\n",
    "    depth=configs.depth,\n",
    "    batch_size=configs.pretrain_batch_size,\n",
    "    output_dims=configs.output_dims,\n",
    "    flag_use_multi_gpu=configs.flag_use_multi_gpu,\n",
    "    after_epoch_callback=pretrain_callback,\n",
    ")\n",
    "\n",
    "epoch_loss_list, epoch_f1_list = model.fit(\n",
    "    X_train,\n",
    "    y_train,\n",
    "    shuffle_function = configs.shuffle_function,\n",
    "    verbose=configs.verbose,\n",
    "    n_epochs=configs.n_epochs,\n",
    "    masks = configs.masks,\n",
    "    factors = configs.factors\n",
    ")\n",
    "\n",
    "end_time = datetime.now()\n",
    "print(f'Duration: {end_time - start_time}')"
   ],
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "27wjLpD237VR",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1675656463615,
     "user_tz": 300,
     "elapsed": 262193,
     "user": {
      "displayName": "Lucian",
      "userId": "17113640720459928730"
     }
    },
    "outputId": "cc4d88e7-1cfe-4bb5-d642-cbd3a879d335",
    "ExecuteTime": {
     "end_time": "2023-11-09T02:58:53.741851700Z",
     "start_time": "2023-11-09T02:44:33.798600600Z"
    }
   },
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch #1: loss=8.402825117111206\n",
      "{'Accuracy': 0.783235294117647, 'Precision': 0.7797968772980965, 'Recall': 0.7318823351824597, 'F1': 0.7445582017990207, 'AUROC': 0.8982338956187026, 'AUPRC': 0.8434715385931195}\n",
      "Epoch #2: loss=7.229269101934613\n",
      "{'Accuracy': 0.7538235294117647, 'Precision': 0.7454485503494386, 'Recall': 0.6948130118117665, 'F1': 0.7055217314055621, 'AUROC': 0.8816627042529908, 'AUPRC': 0.8203589626878385}\n",
      "Epoch #3: loss=7.009495280823618\n",
      "{'Accuracy': 0.7270588235294118, 'Precision': 0.7145648487231795, 'Recall': 0.6581342692177063, 'F1': 0.6655585041544434, 'AUROC': 0.8438137288199554, 'AUPRC': 0.7970299225764426}\n",
      "Epoch #4: loss=6.888925972974525\n",
      "{'Accuracy': 0.7282352941176471, 'Precision': 0.7272011879263979, 'Recall': 0.6503566172308389, 'F1': 0.6562373616677084, 'AUROC': 0.8167421412128759, 'AUPRC': 0.793374094104931}\n",
      "Epoch #5: loss=6.808973330371785\n",
      "{'Accuracy': 0.7626470588235295, 'Precision': 0.775104920559569, 'Recall': 0.6922317823314088, 'F1': 0.7044248689447792, 'AUROC': 0.8372115928902977, 'AUPRC': 0.8260901521374974}\n",
      "Epoch #6: loss=6.74271071182107\n",
      "{'Accuracy': 0.7873529411764706, 'Precision': 0.8072478731161569, 'Recall': 0.7221347975395298, 'F1': 0.7378890439603641, 'AUROC': 0.8846299860372089, 'AUPRC': 0.8740722928129026}\n",
      "Epoch #7: loss=6.685959946434453\n",
      "{'Accuracy': 0.81, 'Precision': 0.8328832269718969, 'Recall': 0.7506245518698819, 'F1': 0.7687489787220423, 'AUROC': 0.9162145741348731, 'AUPRC': 0.8988816018018846}\n",
      "Epoch #8: loss=6.640921055145983\n",
      "{'Accuracy': 0.8202941176470588, 'Precision': 0.8374593713429438, 'Recall': 0.7669364881693649, 'F1': 0.784788703095535, 'AUROC': 0.9257217253481265, 'AUPRC': 0.8994364319800052}\n",
      "Epoch #9: loss=6.602213202782397\n",
      "{'Accuracy': 0.8208823529411765, 'Precision': 0.8369242732469291, 'Recall': 0.7683176723649949, 'F1': 0.7859816425459316, 'AUROC': 0.9241243065776067, 'AUPRC': 0.8961215414779987}\n",
      "Epoch #10: loss=6.5702134573234705\n",
      "{'Accuracy': 0.815, 'Precision': 0.8308201390634162, 'Recall': 0.7607928601079286, 'F1': 0.7781943677383055, 'AUROC': 0.9181354013358994, 'AUPRC': 0.888426319650426}\n",
      "Epoch #11: loss=6.5393046725471065\n",
      "{'Accuracy': 0.8035294117647059, 'Precision': 0.8196210240130752, 'Recall': 0.7456017208196536, 'F1': 0.7624417871506863, 'AUROC': 0.908130872863127, 'AUPRC': 0.874392939390451}\n",
      "Epoch #12: loss=6.511365499136583\n",
      "{'Accuracy': 0.7855882352941177, 'Precision': 0.8016985259036371, 'Recall': 0.7216894977168951, 'F1': 0.737031932276333, 'AUROC': 0.8950103777501037, 'AUPRC': 0.8548787601686616}\n",
      "Epoch #13: loss=6.488430281855026\n",
      "{'Accuracy': 0.7702941176470588, 'Precision': 0.7838481376314288, 'Recall': 0.7022359334314503, 'F1': 0.7156021167153748, 'AUROC': 0.8823687686327787, 'AUPRC': 0.8380359824539414}\n",
      "Epoch #14: loss=6.465950704970449\n",
      "{'Accuracy': 0.7667647058823529, 'Precision': 0.7797904182819877, 'Recall': 0.6976470810219254, 'F1': 0.7104906808215056, 'AUROC': 0.8738258047473488, 'AUPRC': 0.8271683337743932}\n",
      "Epoch #15: loss=6.444230498008008\n",
      "{'Accuracy': 0.7644117647058823, 'Precision': 0.7771706254788886, 'Recall': 0.6945262085361712, 'F1': 0.7070029774152162, 'AUROC': 0.8711630627570851, 'AUPRC': 0.8233963929243915}\n",
      "Epoch #16: loss=6.425305915328692\n",
      "{'Accuracy': 0.7611764705882353, 'Precision': 0.7736577778936302, 'Recall': 0.6901656666289294, 'F1': 0.7021085038052165, 'AUROC': 0.8710532472923507, 'AUPRC': 0.8231584166447388}\n",
      "Epoch #17: loss=6.409790954499875\n",
      "{'Accuracy': 0.7588235294117647, 'Precision': 0.7734458330370475, 'Recall': 0.6857504056756859, 'F1': 0.69718179215375, 'AUROC': 0.8722306502132156, 'AUPRC': 0.8248313103166234}\n",
      "Epoch #18: loss=6.392463681832799\n",
      "{'Accuracy': 0.7594117647058823, 'Precision': 0.7726043527067668, 'Recall': 0.6873165025095287, 'F1': 0.6989203916589732, 'AUROC': 0.8745930035095664, 'AUPRC': 0.829549431327287}\n",
      "Epoch #19: loss=6.375317931175232\n",
      "{'Accuracy': 0.7594117647058823, 'Precision': 0.7726043527067668, 'Recall': 0.6873165025095287, 'F1': 0.6989203916589732, 'AUROC': 0.8773648062191026, 'AUPRC': 0.8391448670698726}\n",
      "Epoch #20: loss=6.361066444864813\n",
      "{'Accuracy': 0.7576470588235295, 'Precision': 0.7715570113062646, 'Recall': 0.6844673383901279, 'F1': 0.695704630164256, 'AUROC': 0.8804762443865806, 'AUPRC': 0.8503768200925508}\n",
      "Epoch #21: loss=6.347001997929699\n",
      "{'Accuracy': 0.7535294117647059, 'Precision': 0.7666934220081795, 'Recall': 0.6790520396996114, 'F1': 0.6894964987166612, 'AUROC': 0.8833710706064379, 'AUPRC': 0.8588848830715317}\n",
      "Epoch #22: loss=6.3307841971235455\n",
      "{'Accuracy': 0.7485294117647059, 'Precision': 0.7637657087980917, 'Recall': 0.6709177704819049, 'F1': 0.680045645500481, 'AUROC': 0.8860507943695988, 'AUPRC': 0.8659832905528607}\n",
      "Epoch #23: loss=6.315566382318173\n",
      "{'Accuracy': 0.7482352941176471, 'Precision': 0.7721925080943257, 'Recall': 0.666621381938941, 'F1': 0.6747627323506483, 'AUROC': 0.8887965583606928, 'AUPRC': 0.8707469654479969}\n",
      "Epoch #24: loss=6.301962614059448\n",
      "{'Accuracy': 0.7461764705882353, 'Precision': 0.7811810688183662, 'Recall': 0.6596607419147893, 'F1': 0.6658509384518656, 'AUROC': 0.8921114004302049, 'AUPRC': 0.8746555593033222}\n",
      "Epoch #25: loss=6.286913874014369\n",
      "{'Accuracy': 0.7423529411764705, 'Precision': 0.7820703221869593, 'Recall': 0.6528095399826408, 'F1': 0.6570079819576801, 'AUROC': 0.8949767915770408, 'AUPRC': 0.8775113605048226}\n",
      "Epoch #26: loss=6.2733803087810305\n",
      "{'Accuracy': 0.7388235294117647, 'Precision': 0.7767378625472887, 'Recall': 0.6484056002113288, 'F1': 0.651491204862501, 'AUROC': 0.8967485565493036, 'AUPRC': 0.8788302310170093}\n",
      "Epoch #27: loss=6.261364057378949\n",
      "{'Accuracy': 0.7338235294117647, 'Precision': 0.7709590883449347, 'Recall': 0.6415657194611117, 'F1': 0.6427041570680422, 'AUROC': 0.8979384127702932, 'AUPRC': 0.8789502767797253}\n",
      "Epoch #28: loss=6.246849847289751\n",
      "{'Accuracy': 0.7314705882352941, 'Precision': 0.7684508435456394, 'Recall': 0.6382599343371448, 'F1': 0.6383895158354569, 'AUROC': 0.8977693497867845, 'AUPRC': 0.8762489933217368}\n",
      "Epoch #29: loss=6.235594407567438\n",
      "{'Accuracy': 0.7270588235294118, 'Precision': 0.7617723827231122, 'Recall': 0.6326163251443451, 'F1': 0.6311107224346693, 'AUROC': 0.8972666893090305, 'AUPRC': 0.8728574172231958}\n",
      "Epoch #30: loss=6.221617734657143\n",
      "{'Accuracy': 0.726764705882353, 'Precision': 0.7614414448030746, 'Recall': 0.6322031020038492, 'F1': 0.6305633773988204, 'AUROC': 0.8965945884750368, 'AUPRC': 0.8694063776937622}\n",
      "Epoch #31: loss=6.208979928268577\n",
      "{'Accuracy': 0.7255882352941176, 'Precision': 0.759503622121797, 'Recall': 0.6307351220800785, 'F1': 0.6286711044617411, 'AUROC': 0.8962085361711762, 'AUPRC': 0.8667174948989905}\n",
      "Epoch #32: loss=6.196742327708118\n",
      "{'Accuracy': 0.7238235294117648, 'Precision': 0.7545185661038952, 'Recall': 0.6291803464281671, 'F1': 0.626889350359034, 'AUROC': 0.8958213517491227, 'AUPRC': 0.8641371022428088}\n",
      "Epoch #33: loss=6.185289812537859\n",
      "{'Accuracy': 0.7252941176470589, 'Precision': 0.7550898010889058, 'Recall': 0.631616287407072, 'F1': 0.6302206472792176, 'AUROC': 0.895563983546549, 'AUPRC': 0.8618735373689708}\n",
      "Epoch #34: loss=6.172634954722422\n",
      "{'Accuracy': 0.7261764705882353, 'Precision': 0.754996312671049, 'Recall': 0.6332257821049851, 'F1': 0.6324393041219306, 'AUROC': 0.8956168157288955, 'AUPRC': 0.8598945010224393}\n",
      "Epoch #35: loss=6.160329701765528\n",
      "{'Accuracy': 0.7255882352941176, 'Precision': 0.7521550445660572, 'Recall': 0.6331389863768444, 'F1': 0.6325273423775488, 'AUROC': 0.8953062379712442, 'AUPRC': 0.8572469272552601}\n",
      "Epoch #36: loss=6.149554077184425\n",
      "{'Accuracy': 0.7276470588235294, 'Precision': 0.7504749806845771, 'Recall': 0.6375108494660175, 'F1': 0.6385576470933991, 'AUROC': 0.894898298048983, 'AUPRC': 0.8554513852222614}\n",
      "Epoch #37: loss=6.137567131024487\n",
      "{'Accuracy': 0.7332352941176471, 'Precision': 0.7553810224223303, 'Recall': 0.6459168270500774, 'F1': 0.6493462737953144, 'AUROC': 0.8940552473678253, 'AUPRC': 0.8537121688363157}\n",
      "Epoch #38: loss=6.126045134832275\n",
      "{'Accuracy': 0.7361764705882353, 'Precision': 0.7563548040453905, 'Recall': 0.6509736216460998, 'F1': 0.6558001866926786, 'AUROC': 0.8929412430657762, 'AUPRC': 0.8514989364206316}\n",
      "Epoch #39: loss=6.114829358064903\n",
      "{'Accuracy': 0.7405882352941177, 'Precision': 0.7577437778796848, 'Recall': 0.6586512698592399, 'F1': 0.6653668778823442, 'AUROC': 0.8920076229291671, 'AUPRC': 0.8488629783235382}\n",
      "Epoch #40: loss=6.102222525848533\n",
      "{'Accuracy': 0.7429411764705882, 'Precision': 0.7563661877998824, 'Recall': 0.6638061813653345, 'F1': 0.671680655631059, 'AUROC': 0.8910272085739085, 'AUPRC': 0.8455415917356344}\n",
      "Epoch #41: loss=6.0908530950546265\n",
      "{'Accuracy': 0.7488235294117647, 'Precision': 0.7607764701599178, 'Recall': 0.6729952073663157, 'F1': 0.6824960820480162, 'AUROC': 0.8905302086871203, 'AUPRC': 0.8439702267014675}\n",
      "Epoch #42: loss=6.080109276861514\n",
      "{'Accuracy': 0.7494117647058823, 'Precision': 0.7589948294800011, 'Recall': 0.6751160421147968, 'F1': 0.6849440038213918, 'AUROC': 0.8902264236386279, 'AUPRC': 0.8424370232857539}\n",
      "Epoch #43: loss=6.068592791287404\n",
      "{'Accuracy': 0.7508823529411764, 'Precision': 0.7602004407859299, 'Recall': 0.6773670704554888, 'F1': 0.6875230237198433, 'AUROC': 0.8902641609117325, 'AUPRC': 0.8408034323434181}\n",
      "Epoch #44: loss=6.056907093749856\n",
      "{'Accuracy': 0.7517647058823529, 'Precision': 0.7607909709011484, 'Recall': 0.6787916525151892, 'F1': 0.6891453490311898, 'AUROC': 0.8906626665157176, 'AUPRC': 0.839769925962922}\n",
      "Epoch #45: loss=6.04461788456395\n",
      "{'Accuracy': 0.7579411764705882, 'Precision': 0.7690801521955068, 'Recall': 0.6863598626363259, 'F1': 0.6977765047423987, 'AUROC': 0.8908894675270764, 'AUPRC': 0.8388756712323929}\n",
      "Epoch #46: loss=6.033249007081086\n",
      "{'Accuracy': 0.7602941176470588, 'Precision': 0.7731302961676184, 'Recall': 0.688741084569229, 'F1': 0.7005178738736052, 'AUROC': 0.8913000490584551, 'AUPRC': 0.8382335427526616}\n",
      "Epoch #47: loss=6.022686794119061\n",
      "{'Accuracy': 0.7611764705882353, 'Precision': 0.7740017547258948, 'Recall': 0.6899807539907167, 'F1': 0.7019135920837372, 'AUROC': 0.8916755349258463, 'AUPRC': 0.8380312107536794}\n",
      "Epoch #48: loss=6.013250027062758\n",
      "{'Accuracy': 0.7638235294117647, 'Precision': 0.7783430893857093, 'Recall': 0.6927751990641157, 'F1': 0.7051209396210769, 'AUROC': 0.8922140458130496, 'AUPRC': 0.8384728342725152}\n",
      "Epoch #49: loss=6.0021155330370055\n",
      "{'Accuracy': 0.7647058823529411, 'Precision': 0.780274451916243, 'Recall': 0.6934601305709649, 'F1': 0.7059332295450613, 'AUROC': 0.8929465262840106, 'AUPRC': 0.8394237681218626}\n",
      "Epoch #50: loss=5.991285796435374\n",
      "{'Accuracy': 0.7685294117647059, 'Precision': 0.7842859758300619, 'Recall': 0.6986471187591985, 'F1': 0.7117501510031488, 'AUROC': 0.8938329748292388, 'AUPRC': 0.8406276171592304}\n",
      "Epoch #51: loss=5.98144727607943\n",
      "{'Accuracy': 0.7720588235294118, 'Precision': 0.7883243507743275, 'Recall': 0.7032359711687234, 'F1': 0.7168797374964798, 'AUROC': 0.8945669647911241, 'AUPRC': 0.8409730748146251}\n",
      "Epoch #52: loss=5.971687454097676\n",
      "{'Accuracy': 0.7741176470588236, 'Precision': 0.7902362613072162, 'Recall': 0.7061285331521945, 'F1': 0.7200675302777755, 'AUROC': 0.895101324578286, 'AUPRC': 0.8407115039548074}\n",
      "Epoch #53: loss=5.9602170147985785\n",
      "{'Accuracy': 0.7788235294117647, 'Precision': 0.7967195767195767, 'Recall': 0.7116306275708517, 'F1': 0.7262497457146222, 'AUROC': 0.895920978150119, 'AUPRC': 0.8407579599705777}\n",
      "Epoch #54: loss=5.950772402421483\n",
      "{'Accuracy': 0.778235294117647, 'Precision': 0.7950920555705422, 'Recall': 0.7113589192044983, 'F1': 0.7258710725759436, 'AUROC': 0.8966360994754519, 'AUPRC': 0.8410612153242554}\n",
      "Epoch #55: loss=5.939810278280726\n",
      "{'Accuracy': 0.7814705882352941, 'Precision': 0.7998328925380598, 'Recall': 0.714979810558889, 'F1': 0.7299560919423503, 'AUROC': 0.8972368768632779, 'AUPRC': 0.8418040464097626}\n",
      "Epoch #56: loss=5.930171116343084\n",
      "{'Accuracy': 0.785, 'Precision': 0.8036984995023047, 'Recall': 0.7195686629684139, 'F1': 0.7349887844191233, 'AUROC': 0.8973965055285105, 'AUPRC': 0.8423294663702443}\n",
      "Epoch #57: loss=5.92024010307384\n",
      "{'Accuracy': 0.7864705882352941, 'Precision': 0.8068623500474308, 'Recall': 0.7207102154798295, 'F1': 0.7363855819018087, 'AUROC': 0.8971085701347221, 'AUPRC': 0.8424406760643695}\n",
      "Epoch #58: loss=5.9096349455275625\n",
      "{'Accuracy': 0.7902941176470588, 'Precision': 0.8109172843530031, 'Recall': 0.7257122910298501, 'F1': 0.7418391865367888, 'AUROC': 0.8963409939997736, 'AUPRC': 0.8416493660883031}\n",
      "Epoch #59: loss=5.901323403952257\n",
      "{'Accuracy': 0.7902941176470588, 'Precision': 0.8068962343355814, 'Recall': 0.7277463300501905, 'F1': 0.7435956829052189, 'AUROC': 0.8952734065436432, 'AUPRC': 0.8400517363769978}\n",
      "Epoch #60: loss=5.891461106966126\n",
      "{'Accuracy': 0.7905882352941176, 'Precision': 0.8057726587138352, 'Recall': 0.7288992037435376, 'F1': 0.7446584807179601, 'AUROC': 0.8939092041209102, 'AUPRC': 0.8378432890196311}\n",
      "Epoch #61: loss=5.879459430586617\n",
      "{'Accuracy': 0.7938235294117647, 'Precision': 0.8079400864101994, 'Recall': 0.7338144835654176, 'F1': 0.7497393599589905, 'AUROC': 0.8923321634778671, 'AUPRC': 0.8353396294898148}\n",
      "Epoch #62: loss=5.872368079311443\n",
      "{'Accuracy': 0.7917647058823529, 'Precision': 0.8032338117532684, 'Recall': 0.7325861353258614, 'F1': 0.7480675972564569, 'AUROC': 0.8903517113853352, 'AUPRC': 0.8324739174281356}\n",
      "Epoch #63: loss=5.861824341540067\n",
      "{'Accuracy': 0.7888235294117647, 'Precision': 0.8002858779844215, 'Recall': 0.7286388165591154, 'F1': 0.7439002692341263, 'AUROC': 0.8890973244273368, 'AUPRC': 0.8302808839129858}\n",
      "Epoch #64: loss=5.855117809097722\n",
      "{'Accuracy': 0.7867647058823529, 'Precision': 0.7974910394265233, 'Recall': 0.7263009924902826, 'F1': 0.741326162523775, 'AUROC': 0.887969357334239, 'AUPRC': 0.8283857415858511}\n",
      "Epoch #65: loss=5.844728748753385\n",
      "{'Accuracy': 0.7808823529411765, 'Precision': 0.7908577251251887, 'Recall': 0.7187761802332164, 'F1': 0.7332288857192778, 'AUROC': 0.8870202649156572, 'AUPRC': 0.826794255249558}\n",
      "Epoch #66: loss=5.8348125421775965\n",
      "{'Accuracy': 0.7761764705882352, 'Precision': 0.7874084013697318, 'Recall': 0.7116098720706442, 'F1': 0.7256587334178815, 'AUROC': 0.8861598550888712, 'AUPRC': 0.8253279419401351}\n",
      "Epoch #67: loss=5.823697427533707\n",
      "{'Accuracy': 0.7685294117647059, 'Precision': 0.779820751689513, 'Recall': 0.7010509830559644, 'F1': 0.7141456455604707, 'AUROC': 0.8850262274048077, 'AUPRC': 0.8234883274632274}\n",
      "Epoch #68: loss=5.8171901815342455\n",
      "{'Accuracy': 0.7661764705882353, 'Precision': 0.7768921371462206, 'Recall': 0.698115023208423, 'F1': 0.7108729422962079, 'AUROC': 0.8836431563455225, 'AUPRC': 0.8212574120690406}\n",
      "Epoch #69: loss=5.806103292501198\n",
      "{'Accuracy': 0.7608823529411765, 'Precision': 0.7716860910594023, 'Recall': 0.6906770066794974, 'F1': 0.7026135089120735, 'AUROC': 0.8818683723914109, 'AUPRC': 0.8190445798932442}\n",
      "Epoch #70: loss=5.798134383165611\n",
      "{'Accuracy': 0.76, 'Precision': 0.7708078434418959, 'Recall': 0.6894373372580098, 'F1': 0.7012255953519386, 'AUROC': 0.8800592475187743, 'AUPRC': 0.8170724848106767}\n",
      "Epoch #71: loss=5.79033946091274\n",
      "{'Accuracy': 0.7567647058823529, 'Precision': 0.766570507482895, 'Recall': 0.6854466206271934, 'F1': 0.6967046427661123, 'AUROC': 0.8780508698441452, 'AUPRC': 0.8149794926714159}\n",
      "Epoch #72: loss=5.780095970855569\n",
      "{'Accuracy': 0.7558823529411764, 'Precision': 0.7666665205460236, 'Recall': 0.6836522132910676, 'F1': 0.6947049153157738, 'AUROC': 0.8759590927959544, 'AUPRC': 0.8130537051047596}\n",
      "Epoch #73: loss=5.770453655494834\n",
      "{'Accuracy': 0.7567647058823529, 'Precision': 0.7675600534961737, 'Recall': 0.6848918827125552, 'F1': 0.696108321096284, 'AUROC': 0.8739099588663723, 'AUPRC': 0.8113237165728088}\n",
      "Epoch #74: loss=5.761798656211709\n",
      "{'Accuracy': 0.7538235294117647, 'Precision': 0.7642327834143691, 'Recall': 0.6809445639458093, 'F1': 0.6916215399396051, 'AUROC': 0.8721042303483151, 'AUPRC': 0.8099175129297241}\n",
      "Epoch #75: loss=5.751074138677345\n",
      "{'Accuracy': 0.7547058823529412, 'Precision': 0.7644743316385108, 'Recall': 0.6825540586437224, 'F1': 0.6934353918007266, 'AUROC': 0.8705294539416581, 'AUPRC': 0.8089982880585137}\n",
      "Epoch #76: loss=5.74344579228815\n",
      "{'Accuracy': 0.7544117647058823, 'Precision': 0.7645027650828812, 'Recall': 0.6819559228650138, 'F1': 0.6927645787752594, 'AUROC': 0.8693512962753311, 'AUPRC': 0.8083165513582306}\n",
      "Epoch #77: loss=5.741059753130067\n",
      "{'Accuracy': 0.7541176470588236, 'Precision': 0.7648690578387647, 'Recall': 0.6811728744480924, 'F1': 0.6918879731379731, 'AUROC': 0.8686180610589079, 'AUPRC': 0.8078088215860647}\n",
      "Epoch #78: loss=5.727371175334139\n",
      "{'Accuracy': 0.7535294117647059, 'Precision': 0.7635982526597619, 'Recall': 0.6807162534435262, 'F1': 0.6913552162181719, 'AUROC': 0.8684554134118269, 'AUPRC': 0.807796568699923}\n",
      "Epoch #79: loss=5.718141474813785\n",
      "{'Accuracy': 0.7538235294117647, 'Precision': 0.7639001525752223, 'Recall': 0.681129476584022, 'F1': 0.6918253807106599, 'AUROC': 0.8683580512472169, 'AUPRC': 0.8078033152921912}\n",
      "Epoch #80: loss=5.7107980273804575\n",
      "{'Accuracy': 0.7544117647058823, 'Precision': 0.7641733427693662, 'Recall': 0.6821408355032266, 'F1': 0.6929668647547698, 'AUROC': 0.8684422053662402, 'AUPRC': 0.8076343796440579}\n",
      "Epoch #81: loss=5.702862516889033\n",
      "{'Accuracy': 0.7538235294117647, 'Precision': 0.7632428754941738, 'Recall': 0.6814993018604476, 'F1': 0.6922314560475955, 'AUROC': 0.8687456130420015, 'AUPRC': 0.8077013322524582}\n",
      "Epoch #82: loss=5.698812824375224\n",
      "{'Accuracy': 0.7508823529411764, 'Precision': 0.7605303329188287, 'Recall': 0.6771821578172761, 'F1': 0.6873151108626349, 'AUROC': 0.8690022264991131, 'AUPRC': 0.8078465425388077}\n",
      "Epoch #83: loss=5.690648330832428\n",
      "{'Accuracy': 0.7476470588235294, 'Precision': 0.7568053761125466, 'Recall': 0.6728216159100343, 'F1': 0.6822996054555774, 'AUROC': 0.8693128042567644, 'AUPRC': 0.8079195837512583}\n",
      "Epoch #84: loss=5.678093120736896\n",
      "{'Accuracy': 0.7452941176470588, 'Precision': 0.7536419691874983, 'Recall': 0.6698856560624928, 'F1': 0.6789054256302478, 'AUROC': 0.8696962149515076, 'AUPRC': 0.8079484853307302}\n",
      "Epoch #85: loss=5.670703975659497\n",
      "{'Accuracy': 0.7441176470588236, 'Precision': 0.7514046554294233, 'Recall': 0.6687875014151478, 'F1': 0.6776395631067962, 'AUROC': 0.8701252877467074, 'AUPRC': 0.8081621936575714}\n",
      "Epoch #86: loss=5.666820548615366\n",
      "{'Accuracy': 0.7435294117647059, 'Precision': 0.750132339219064, 'Recall': 0.6683308804105815, 'F1': 0.6771156829338736, 'AUROC': 0.8703313332578586, 'AUPRC': 0.8082529811800379}\n",
      "Epoch #87: loss=5.67434491751329\n",
      "{'Accuracy': 0.745, 'Precision': 0.7514078338130397, 'Recall': 0.6705819087512737, 'F1': 0.6797183764270638, 'AUROC': 0.8704913392958225, 'AUPRC': 0.8085270774412855}\n",
      "Epoch #88: loss=5.6653539504645005\n",
      "{'Accuracy': 0.7444117647058823, 'Precision': 0.7501538439342763, 'Recall': 0.6701252877467074, 'F1': 0.6791934254304954, 'AUROC': 0.870535869278086, 'AUPRC': 0.8088037021488358}\n",
      "Epoch #89: loss=5.647283151464642\n",
      "{'Accuracy': 0.7455882352941177, 'Precision': 0.7514224136264491, 'Recall': 0.6717781803086909, 'F1': 0.6810941993084265, 'AUROC': 0.8703935997584815, 'AUPRC': 0.8090840140358271}\n",
      "Epoch #90: loss=5.635933966006872\n",
      "{'Accuracy': 0.7455882352941177, 'Precision': 0.7499209517032654, 'Recall': 0.6727027434997547, 'F1': 0.6821447373014337, 'AUROC': 0.8697833880523793, 'AUPRC': 0.8087360205298958}\n",
      "Epoch #91: loss=5.638226176207921\n",
      "{'Accuracy': 0.7447058823529412, 'Precision': 0.7480945113654424, 'Recall': 0.6720178119929054, 'F1': 0.6813559087791672, 'AUROC': 0.8688588248613154, 'AUPRC': 0.8079930270340396}\n",
      "Epoch #92: loss=5.633351818570551\n",
      "{'Accuracy': 0.7444117647058823, 'Precision': 0.746923102320413, 'Recall': 0.6721593267670478, 'F1': 0.6815092662090343, 'AUROC': 0.867968602588777, 'AUPRC': 0.8070751526426705}\n",
      "Epoch #93: loss=5.628023199315341\n",
      "{'Accuracy': 0.7432352941176471, 'Precision': 0.7442634189619712, 'Recall': 0.6714309973961281, 'F1': 0.6806661663963594, 'AUROC': 0.8668270500773614, 'AUPRC': 0.8055835518106057}\n",
      "Epoch #94: loss=5.605645368684013\n",
      "{'Accuracy': 0.7435294117647059, 'Precision': 0.7432645548527511, 'Recall': 0.6727687837276879, 'F1': 0.6821600083362243, 'AUROC': 0.8650801917053473, 'AUPRC': 0.803389448911724}\n",
      "Epoch #95: loss=5.595542799751714\n",
      "{'Accuracy': 0.7447058823529412, 'Precision': 0.7430381387105405, 'Recall': 0.6755311521189479, 'F1': 0.6852226586781996, 'AUROC': 0.8634805086984414, 'AUPRC': 0.8010762358698157}\n",
      "Epoch #96: loss=5.591637798075406\n",
      "{'Accuracy': 0.7452941176470588, 'Precision': 0.7413222515438124, 'Recall': 0.6782067247820672, 'F1': 0.6880953349468817, 'AUROC': 0.8621147967847843, 'AUPRC': 0.7989037743768836}\n",
      "Epoch #97: loss=5.579137066625199\n",
      "{'Accuracy': 0.7476470588235294, 'Precision': 0.7432126696832579, 'Recall': 0.6820672478206725, 'F1': 0.692299124235969, 'AUROC': 0.860999282991811, 'AUPRC': 0.7972464293145545}\n",
      "Epoch #98: loss=5.5836010316632825\n",
      "{'Accuracy': 0.7467647058823529, 'Precision': 0.7411772806369634, 'Recall': 0.6817521415902487, 'F1': 0.6918777678663056, 'AUROC': 0.8599637722178195, 'AUPRC': 0.7957479714278866}\n",
      "Epoch #99: loss=5.56459542040555\n",
      "{'Accuracy': 0.7476470588235294, 'Precision': 0.7409016838674634, 'Recall': 0.6841012868410128, 'F1': 0.69432918395574, 'AUROC': 0.8589901505717197, 'AUPRC': 0.7944337034174973}\n",
      "Duration: 2:11:34.101644\n"
     ]
    }
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x800 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1, figsize=(8, 8))\n",
    "plt.subplot(121)\n",
    "plt.plot(epoch_loss_list)\n",
    "plt.title('Loss')\n",
    "plt.subplot(122)\n",
    "plt.plot(epoch_f1_list)\n",
    "plt.title('Accuracy')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T02:58:54.446134700Z",
     "start_time": "2023-11-09T02:58:53.741851700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Linear evaluation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "source": [
    "start_time = datetime.now()\n",
    "seed_everything(RANDOM_SEED)\n",
    "pretrain_model = COMET(\n",
    "    input_dims=configs.input_dims,\n",
    "    device=device,\n",
    "    lr=configs.pretrain_lr,\n",
    "    depth=configs.depth,\n",
    "    batch_size=configs.pretrain_batch_size,\n",
    "    output_dims=configs.output_dims,\n",
    "    flag_use_multi_gpu=configs.flag_use_multi_gpu,\n",
    "    after_epoch_callback=pretrain_callback,\n",
    ")\n",
    "\n",
    "pretrain_model.load(f\"{working_directory}seed{RANDOM_SEED}_pretrain_model.pt\")\n",
    "\n",
    "start_logging(RANDOM_SEED, logging_directory)\n",
    "val_metrics_dict = eval_classification(pretrain_model, X_train, y_train[:, 0], X_val, y_val[:, 0])\n",
    "print(\"Linear evaluation for validation set\\n\",val_metrics_dict)\n",
    "test_metrics_dict = eval_classification(pretrain_model, X_train, y_train[:, 0], X_test, y_test[:, 0])\n",
    "print(\"Linear evaluation for test set\\n\",test_metrics_dict)\n",
    "print()\n",
    "stop_logging()"
   ],
   "metadata": {
    "id": "1nZhs42So9i5",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1676328695263,
     "user_tz": 300,
     "elapsed": 151,
     "user": {
      "displayName": "Lucian",
      "userId": "17113640720459928730"
     }
    },
    "ExecuteTime": {
     "end_time": "2023-11-09T02:59:12.414443600Z",
     "start_time": "2023-11-09T02:58:54.446134700Z"
    }
   },
   "execution_count": 15,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear evaluation for validation set\n",
      " {'Accuracy': 0.7476470588235294, 'Precision': 0.7409016838674634, 'Recall': 0.6841012868410128, 'F1': 0.69432918395574, 'AUROC': 0.8589901505717197, 'AUPRC': 0.7944337034174973}\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Full fine-tuning"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "<All keys matched successfully>"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "finetune_model = FTClassifier(input_dims=configs.input_dims, output_dims=configs.output_dims, depth=configs.depth, p_output_dims=configs.num_classes, device=device, flag_use_multi_gpu=configs.flag_use_multi_gpu)\n",
    "finetune_model.net.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_pretrain_model.pt\"))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:39.042814900Z",
     "start_time": "2023-11-09T03:03:37.625558700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "epoch_loss_list, epoch_f1_list = finetune_fit(finetune_model, X_train, y_train[:, 0], X_val, y_val[:, 0], batch_size=configs.finetune_batch_size_100, finetune_epochs=configs.finetune_epochs_100, num_classes=configs.num_classes, finetune_lr=configs.finetune_lr_100, fraction=configs.fraction_100, device=device, callback=finetune_callback)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:48.667762200Z",
     "start_time": "2023-11-09T03:03:39.042814900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [],
   "source": [
    "finetune_model.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_max_f1_{configs.fraction_100}_finetune_model.pt\"))\n",
    "start_logging(RANDOM_SEED, logging_directory)\n",
    "print(f\"Finetune for {configs.fraction_100} fraction of validation set\")\n",
    "finetune_predict(finetune_model, X_val, y_val[:,0])\n",
    "print(f\"Finetune for {configs.fraction_100} fraction of test set\")\n",
    "finetune_predict(finetune_model, X_test, y_test[:,0])\n",
    "print()\n",
    "stop_logging()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.667762200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x800 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1, figsize=(8, 8))\n",
    "plt.subplot(121)\n",
    "plt.plot(epoch_loss_list)\n",
    "plt.title('Loss')\n",
    "plt.subplot(122)\n",
    "plt.plot(epoch_f1_list)\n",
    "plt.title('Accuracy')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.667762200Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Semi-supervised"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 10% label"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "data": {
      "text/plain": "<All keys matched successfully>"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "finetune_model = FTClassifier(input_dims=configs.input_dims, output_dims=configs.output_dims, depth=configs.depth, p_output_dims=configs.num_classes, device=device, flag_use_multi_gpu=configs.flag_use_multi_gpu)\n",
    "finetune_model.net.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_pretrain_model.pt\"))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.667762200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "epoch_loss_list, epoch_f1_list = finetune_fit(finetune_model, X_train, y_train[:, 0], X_val, y_val[:, 0], batch_size=configs.finetune_batch_size_10,finetune_epochs=configs.finetune_epochs_10, num_classes=configs.num_classes, finetune_lr=configs.finetune_lr_10, fraction=configs.fraction_10, device=device, callback=finetune_callback)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [],
   "source": [
    "finetune_model.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_max_f1_{configs.fraction_10}_finetune_model.pt\"))\n",
    "start_logging(RANDOM_SEED, logging_directory)\n",
    "print(f\"Finetune for {configs.fraction_10} fraction of validation set\")\n",
    "finetune_predict(finetune_model, X_val, y_val[:,0])\n",
    "print(f\"Finetune for {configs.fraction_10} fraction of test set\")\n",
    "finetune_predict(finetune_model, X_test, y_test[:,0])\n",
    "print()\n",
    "stop_logging()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x800 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1, figsize=(8, 8))\n",
    "plt.subplot(121)\n",
    "plt.plot(epoch_loss_list)\n",
    "plt.title('Loss')\n",
    "plt.subplot(122)\n",
    "plt.plot(epoch_f1_list)\n",
    "plt.title('Accuracy')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-09T03:03:48.699004600Z",
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 1% label"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "outputs": [
    {
     "data": {
      "text/plain": "<All keys matched successfully>"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "finetune_model = FTClassifier(input_dims=configs.input_dims, output_dims=configs.output_dims, depth=configs.depth, p_output_dims=configs.num_classes, device=device, flag_use_multi_gpu=configs.flag_use_multi_gpu)\n",
    "finetune_model.net.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_pretrain_model.pt\"))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "seed_everything(RANDOM_SEED)\n",
    "epoch_loss_list, epoch_f1_list = finetune_fit(finetune_model, X_train, y_train[:, 0], X_val, y_val[:, 0], batch_size=configs.finetune_batch_size_1,finetune_epochs=configs.finetune_epochs_1, num_classes=configs.num_classes, finetune_lr=configs.finetune_lr_1, fraction=configs.fraction_1, device=device, callback=finetune_callback)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [],
   "source": [
    "finetune_model.load_state_dict(torch.load(f\"{working_directory}seed{RANDOM_SEED}_max_f1_{configs.fraction_1}_finetune_model.pt\"))\n",
    "start_logging(RANDOM_SEED, logging_directory)\n",
    "print(f\"Finetune for {configs.fraction_1} fraction of validation set\")\n",
    "finetune_predict(finetune_model, X_val, y_val[:,0])\n",
    "print(f\"Finetune for {configs.fraction_1} fraction of test set\")\n",
    "finetune_predict(finetune_model, X_test, y_test[:,0])\n",
    "print()\n",
    "stop_logging()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x800 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1, figsize=(8, 8))\n",
    "plt.subplot(121)\n",
    "plt.plot(epoch_loss_list)\n",
    "plt.title('Loss')\n",
    "plt.subplot(122)\n",
    "plt.plot(epoch_f1_list)\n",
    "plt.title('Accuracy')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [
    "end_time = datetime.now()\n",
    "print(f'Duration: {end_time - start_time}')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-11-09T03:03:48.683383700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "is_executing": true
   }
  }
 ]
}
